ارزیابی کارایی الگوریتم ژنتیک و روش هیبریدی GA-SA در پیش‌بینی طوفان‌های گردوغبار (مطالعه موردی: استان خوزستان)

Abdolshahnejad, M., Khosravi, H., Nazari Samani, A. A., Zehtabian, G. R. & Alambaigi, M. (2020). Determining the Conceptual Framework of Dust Risk Based on Evaluating Resilience (Case Study: Southwest of Iran). Strategic Research Journal of Agricultural Sciences and Natural Resources, 5(1), 33-44. (In Farsi)

Aliyari, M., Teshnehlab, M. & Khaki Sedigh, A. (2008). Short-term forecast of air pollution by neural networks, delayed memory line, gamma and ANFIS with PSO-based educational methods. Control journal, 2(1), 1-19.

Ansari Ghojghar, M. & Araghinejad, Sh. (2018). Investigating the effect of wind speed on the frequency of days with dust storms (Case study: Lorestan province). The fourth national conference on wind erosion and dust storms, Yazd.

Araghinejad, S. (2013). Data-driven modeling: using MATLAB® in water resources and environmental engineering (Vol. 67). Springer Science & Business Media.

Araghinejad, Sh., Ansari Ghojghar, M., Pourgholam-Amiji., Liaghat, A & Bazrafshan, J. (2019). The Effect of Climate Fluctuation on Frequency of Dust Storms in Iran. Desert Ecosystem Engineering Journal, 7(21), 13-32. (In Farsi)

Cao, R., Jiang, W., Yuan, L., Wang, W., Lv, Z., & Chen, Z. (2014). Inter-annual variations in vegetation and their response to climatic factors in the upper catchments of the Yellow River from 2000 to 2010. Journal of Geographical Sciences, 24(6), 963-979.

Cheng, R. (2000). Genetic algorithms and engineering optimization. Wiley-Interscience.

Dahiya, S., Singh, B., Gaur, S., Garg, V. K., & Kushwaha, H. S. (2007). Analysis of groundwater quality using fuzzy synthetic evaluation. Journal of Hazardous Materials, 147(3), 938-946.

Farajzadeh Asl, M. & Alizadeh, Kh. (2011). Spatial Analysis of Dust storm in Iran. The Journal of Spatial Planning, 15(1), 65-84. (In Farsi)

Goudie, A. S., & Middleton, N. J. (2006). Desert dust in the global system. Springer Science & Business Media.

Hahnenberger, M. & Nikoul, K. (2014). Geomorphic and land cover identification of dust sources in the eastern Great Basin of Utah, U.S.A. Journal of Geomorphology, 204(2), 657-672.

Hakimpour, F., Talat Ahary, S. & Ranjbar, A. (2017). The Assessment and Comparison of a Genetic Algorithm, Simulated Annealing and Cuckoo Optimization Algorithm for Optimization of the Facility Location under Competitive Conditions (Case Study: Banks). Journal of Modeling in Engineering, 15(48), 231-246. (In Farsi)

Hassanzadeh, Y., Abdi Kordani, A. & Fakheri Fard, A. (2012). Drought Forecasting Using Genetic Algorithm and Conjoined Model of Neural Network-Wavelet. Journal of Water and Wastewater, 23(3), 48-59. (In Farsi)

Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE transactions on systems, man, and cybernetics, 23(3), 665–685

Khashei-Siuki, A., Shahidi, A., Pourrezabilondi, M., Amirabadizadeh, M. & Jafarzadeh, A. (2018). Performance Assessment of ANN and SVR for downscaling of daily rainfall in dry regions. Iranian Journal of Soil and Water Research, 49(4), 781-793. (In Farsi)

Kim, D., Chin, M., Kemp, E. M., Tao, Z., Peters-Lidard, C. D., & Ginoux, P. (2017). Development of high-resolution dynamic dust source function-A case study with a strong dust storm in a regional model. Atmospheric environment, 159, 11-25.

Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680.

Mehrabi, Sh., Soltani, S. & Jafari, R. (2015). Investigating the Relationship between Climatic Parameters and the Exposure of Greenhouses (Case Study: Khuzestan Province). Journal of Water and Soil Science, 19(71), 69-80. (In Farsi)

Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equation of state calculations by fast computing machines. The journal of chemical physics, 21(6), 1087-1092.

Mohammadi, G, H., (2015). Analysis of Atmospheric Mechanisms in Dust Transport over West of Iran. Ph.D. thesis, Tabriz University, 142 pp. (In Farsi)

O’Loingsigh, T., McTainsh, G. H., Tews, E. K., Strong, C. L., Leys, J. F., Shinkfield, P., & Tapper, N. J. (2014). The Dust Storm Index (DSI): a method for monitoring broadscale wind erosion using meteorological records. Aeolian Research, 12, 29-40

Rashki, A., Kaskaoutis, D. G., Goudie, A. S. & Kahn, R. A. (2013). Dryness of ephemeral lakes and consequences for dust activity: the case of the Hamoun drainage basin, southeastern Iran. Science of the Total Environment, 463, 552-564.

Rasoulzadeh Gharibdoosti, S. & Bozorg Haddad, O. (2012). Development and Application of Hybrid (NLP-GA) in the Design and Operation of Pumping Stations. Iranian Journal of Soil and Water Research, 43(2), 129-137. (In Farsi)

Shaker Sureh, F. & Asadi, E. (2019). Meteorological and hydrological drought communication in Salmas Plain. Desert Ecosystem Engineering Journal, 8(22), 89-100. (In Farsi)

Shao, Y., Wyrwoll, K. H., Chappell, A., Huang, J., Lin, Z., McTainsh, G. H. & Yoon, S. (2011). Dust cycle: An emerging core theme in Earth system science. Aeolian Research, 2(4), 181-204.

Sivanandam, S. N. & Deepa. S. N. (2008). Introduction to Genetic Algorithms. Springer-Verlag, Berlin.

Sobhani, B. & Safarian Zengir, V. (2020). Analysis and prediction of Dust phenomenon in the southwest of Iran. Journal of Natural Environmental Hazards, 8(22), 179-178. (In Farsi)

Sobhani, B., Salahi, B. & Goldust, A. (2015). Study the dust and evaluation of its possibility prediction based on statistical methods and ANFIS model in Zabol University.Geography and Development Iranian journal, 13(38), 123-138.  (In Farsi)

Tarokh. M. J. & Naseri, A. (2012). Genetic Algorithm and Hybrid Method to Minimize Total Distribution Cost in Multi-level Supply Chain. Advances in Industrial Engineering, 46(1), 15-26. (In Farsi)

White, S. R. (1984). Concepts of scale in simulated annealing. In AIP Conference Proceedings (Vol. 122, No. 1, pp. 261-270). American Institute of Physics.

Yarmoradi, Z., Nasiri, B., Mohammadi, Gh. H., & Karampour, M. (2018). Trend analysis of dusty day’s frequency in Eastern arts o Iran associated with Climate Fluctuations. Desert Ecosystem Engineering Journal, 7(18), 1-14. (In Farsi)

Zeinali, B. (2016). Investigation of frequency changes trend of days with dust storms in western half of Iran. Journal of Natural Environment hazards, 5(7), 100-87. (In Farsi)